Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
☆61Jan 7, 2021Updated 5 years ago
Alternatives and similar repositories for pgmult
Users that are interested in pgmult are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆86May 8, 2020Updated 6 years ago
- Pseudo-Marginal Slice Sampling☆19Jun 8, 2016Updated 9 years ago
- some tools for gaussian linear dynamical systems☆90May 14, 2018Updated 8 years ago
- Repo for MCMC based Dynamic Topic Model☆16Sep 2, 2017Updated 8 years ago
- [hibernating] Dynamic topic models☆39Jun 22, 2015Updated 10 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆31Mar 10, 2020Updated 6 years ago
- Generalized Dynamic Topic Models using Gaussian Processes☆20Feb 20, 2018Updated 8 years ago
- ☆11Sep 15, 2015Updated 10 years ago
- Scalable inference for Correlated Topic Models☆31Mar 6, 2015Updated 11 years ago
- Library of common tools for machine learning research.☆41Nov 20, 2017Updated 8 years ago
- Generative Adversarial Network for Tree Structured Data☆21Dec 12, 2018Updated 7 years ago
- ☆156Sep 1, 2019Updated 6 years ago
- Implementation of Deep Dirichlet Multinomial Regression in python + cython.☆16Mar 7, 2018Updated 8 years ago
- Implementations of various online inference algorithms for LDA, with Python interface.☆21May 24, 2015Updated 10 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Python implementation of fast-oopsi, smc-oopsi, wiener, and discretize with binning☆15May 17, 2022Updated 4 years ago
- A Bayesian group factor model with structured sparsity☆22Jan 6, 2016Updated 10 years ago
- Neuroproc dataset descriptions and dictionaries☆16Jan 2, 2017Updated 9 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆11Jan 30, 2026Updated 3 months ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆29Jan 2, 2021Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆66Dec 30, 2018Updated 7 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated 2 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Aug 10, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- False discovery rate regression☆10Nov 12, 2020Updated 5 years ago
- changepoint detection for Bayesian models☆19Nov 7, 2014Updated 11 years ago
- An R package for Poisson multivariate adaptive shrinkage.☆11Apr 15, 2024Updated 2 years ago
- Calculus Textbook (Openstax)☆16Aug 3, 2018Updated 7 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Mar 27, 2024Updated 2 years ago
- A Correlated Topic Model implementation in Python.☆33Apr 24, 2020Updated 6 years ago
- Inference on non-linear dynamical systems written in JAX☆11Aug 20, 2020Updated 5 years ago
- Automatic Differentiation for high-performance stencil loops☆13Mar 25, 2021Updated 5 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Dirichlet-Multinomial Bayesian Variable Selection☆14Jun 13, 2024Updated last year
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Jul 26, 2021Updated 4 years ago
- Workflow using git☆48Feb 18, 2026Updated 3 months ago
- Semi automated image analysis toolkit for Connectomics☆12Aug 21, 2019Updated 6 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Sep 20, 2015Updated 10 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Sep 21, 2024Updated last year